The article discusses the release of Llama 3.2, a new model from Meta, and explores its capabilities and limitations, particularly focusing on its availability and usage for personal projects. The article is a light-hearted take on exploring new AI technologies for creative and personal endeavors.
Meta AI has released quantized versions of the Llama 3.2 models (1B and 3B), which improve inference speed by up to 2-4x and reduce model size by 56%, making advanced AI technology more accessible to a wider range of users.
Meta releases Llama 3.2, which features small and medium-sized vision LLMs (11B and 90B) alongside lightweight text-only models (1B and 3B). It also introduces the Llama Stack Distribution.
A step-by-step guide on building llamafiles from Llama 3.2 GGUFs, including scripting and Dockerization.
Learn how to deploy a private instance of Llama 3.2 with a Retriever-Augmented Generation (RAG) API using Lightning AI Studios, enabling you to leverage large language models in a secure and customizable environment.